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Digital RF Memories (DRFMs) Critical for Electromagnetic Maneuver Warfare


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5/30/19 11:00 am to 5/30/19 12:00 pm EST

Event Description

Technical Education Webinar Series

Title: Digital RF Memories (DRFMs) Critical for Electromagnetic Maneuver Warfare

Date: May 30, 2019

Time: 8am PT / 11am ET

Sponsored by: Rohde & Schwarz and Mercury Systems

Presented by: Dr. Phillip E. Pace, Professor in the Department of Electrical and Computer Engineering at the Naval Postgraduate School, Monterey, CA

The DRFM is a system capable of capturing, storing and re-radiating an intercepted RF signal coherently back to an emitter. During this 1-hour webinar, we examine the critical role the DRFM architecture has in today’s battle for the electromagnetic (EM) spectrum and the advanced technologies that can be incorporated for controlling this “one continuous environment.” We first look at the architecture and the technical considerations of its operation. The concept of electromagnetic maneuver warfare and the difficult terrain that must be controlled is also examined as a feedback control loop. Undersampling, analysis/synthesis channelizer, symmetrical number system-DFT receiver architectures are discussed. Photonic and superconductivity EW receiver concepts being used in electronic warfare are described. We demonstrate how the DRFM configured as a small, mobile system can be networked and distributed to play a game-changing role in cyberspace by leveraging both offensive and defensive effects in the sea, air and land domains. In addition to providing traditional electronic warfare capabilities, we show how distributed DRFMs can also enable advanced electronic attack deception concepts creating multiple, structured false targets against high range-resolution profiling radars such as synthetic aperture radar (SAR) and inverse-SAR. Modern time-frequency & bi-frequency electronic support (ES) detection methods will be reviewed. Automatic algorithms for DRFM-ES detecting and classifying RF threats will be covered. The rise of machine learning and artificial intelligence will be emphasized. Feature vector recognition using recurrent, convolutional & deep neural networks will be discussed. Recent counter-DRFM techniques are also reviewed.

Presenter Bio:

Phillip E. Pace is a professor in the Department of Electrical and Computer Engineering at the Naval Postgraduate School, Monterey, CA. He received the B.S. and M.S. degrees from the Ohio University in 1983 and 1986 respectively, and the Ph.D. from the University of Cincinnati in 1990 --- all in electrical and computer engineering. Prior to joining NPS, he spent two years at General Dynamics Corporation, Air Defense Systems Division, as a design specialist in the Radar Systems Research Engineering department. Before that, he was a member of the technical staff at Hughes Aircraft Company, Radar Systems Group, for five years. He is the current director for the NPS Center for Joint Services Electronic Warfare and the author of three textbooks, Advanced Techniques for Digital Receivers, Artech House Publishing, 2000, and Detecting and Classifying Low Probability of Intercept Radar Artech House Publishing, 2004 and the 2nd Edition in 2009. He is a Technical and Associate Editor for the IEEE Transactions on Aerospace and Electronics Systems Engineering, a life member of the AOC and is a Fellow of the IEEE.

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